Apache Spark vs Tableau Online

Likelihood to Recommend

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.

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Thomas Young

Owner, previous CEO

Econometric StudiosFinancial Services, 11-50 employees

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I think the whole service is suitable for people who don't have the time or resources to build a real-time analytics engine and integrate it with their product or service. You get a ready-made platform where you can instantly create insightful reports of your client's usage of your service and share them with multiple stakeholders.

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Tanish Pruthi

Marketing Associate

Mercer-MettlInformation Technology and Services, 501-1000 employees

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Feature Rating Comparison

Apache Spark

Tableau Online

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

Apache Spark

Customizable Platform (Open Source)

Pros

Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
Faster in execution times compare to Hadoop and PIG Latin
Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
Interoperability between SQL and Scala / Python style of munging data

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Nitin Pasumarthy

Software Engineer

LinkedInInternet, 5001-10,000 employees

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Tableau Online has a really good search system to help users find data.
Tableau Online has a system to send regular reports of workbooks that users choose to subscribe to.
Tableau Online has a very user friendly app that can be used by anyone with no formal training.
Tableau Online refreshes on an hourly and daily basis to make sure its users always has up to date data.

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Marquis C. Brantley

Regional Manager

Vivint Smart HomeConsumer Services, 10,001+ employees

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Cons

Memory management. Very weak on that.
PySpark not as robust as scala with spark.
spark master HA is needed. Not as HA as it should be.
Locality should not be a necessity, but does help improvement. But would prefer no locality

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Anson Abraham

Data Czar

Envisagenics, Inc.Marketing and Advertising, 51-200 employees

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Tableau is very expensive and the pricing is inflexible. It is catered more towards large organizations and cannot be flexibly used by mid-size firms.
After sales support is not up to the mark.
Versioning is not great when you upgrade the software. This is a very simple possible improvement. IT security is not up to the mark when we ran results by attacking the software. Sometimes IT support is required when you upgrade.

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Kruti Vaidya

Financial Analyst

Bank of America Merrill LynchFinancial Services, 10,001+ employees

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Usability

Apache Spark 8.7

Based on 3 answers

Apache integrates with multiple big data frameworks. It does not exert too much load on the disks. Moreover, it is easy to program and use. It reduces the headache of using different applications separately through its high-level APIs. Big data processing has never been as easy as it is with Apache Spark.

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Partha Protim Pegu

Domain Consultant

InfosysInformation Technology & Services, 10,001+ employees

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Tableau Online 8.3

Based on 9 answers

Online it is very easy to use and I think that it is very convenient that I can open it up in my browser from anywhere, on any device. However, the mobile experience is not the best, and not very easy to read for most reports. Charts are fine, but spreadsheets are not ideal for reading on mobile.

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Marie Sporich

Marketing Project Manager

allheart Scrubs ACRetail, 11-50 employees

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Support Rating

Apache Spark 8.2

Based on 6 answers

1. It integrates very well with scala or python.2. It's very easy to understand SQL interoperability.3. Apache is way faster than the other competitive technologies.4. The support from the Apache community is very huge for Spark.5. Execution times are faster as compared to others.6. There are a large number of forums available for Apache Spark.7. The code availability for Apache Spark is simpler and easy to gain access to.8. Many organizations use Apache Spark, so many solutions are available for existing applications.

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Yogesh Mhasde

Technical Manager

Rishabh Software Private LimitedInformation Technology & Services, 501-1000 employees

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Tableau Online 8.5

Based on 8 answers

Overall it's pretty easy to get support from Tableau Online, there's documentation online so typically can resolve quick questions that way. We typically can resolve any account related issues promptly as well so at least from a maintenance viewpoint (not thinking about new features or integrations), there haven't been any issues with getting the support that we needed.

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Verified User

Engineer in Research & Development

Biotechnology Company, 10,001+ employees

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Alternatives Considered

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.

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Verified User

Engineer in Engineering

Computer Software Company, 51-200 employees

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Both Tableau Online and BI solutions provide visualizations. In Power BI we choose the visualization first, then drag the data into it. In Tableau, we select the data and switch between visualizations on the fly. It’s easier to jump between visualizations in Tableau. Power BI might be sluggish when working with extremely large datasets whereas Tableau online has an advantage in this area due to its extensive features.Power BI doesn’t have the ability to publish reports with all associated data which means some information can be left out of visualizations whereas Tableau online has a steep learning curve and flexible features.

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Verified User

Manager in Quality Assurance

Banking Company, 1001-5000 employees

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Return on Investment

It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.

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Carla Borges

Consultor Tecnico - Java Developer and Php Developer.

Consultec-TIComputer Software, 51-200 employees

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Tableau is super user friendly which enhances engagement among users.
Tableau helped my team tackle data-related issues and answer with complex statistical solutions.
The dashboard I created for the team helped even those with little to no background knowledge of Tableau.

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Rounak Verma

Data Analyst

Raymour and FlaniganRetail, 1001-5000 employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Tableau Online

Apache Spark

Tableau Online

Likelihood to Recommend

Apache Spark

Tableau Online

Feature Rating Comparison

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

Drill-down analysis

Formatting capabilities

Integration with R or other statistical packages

Report sharing and collaboration

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Delivery to Remote Servers

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Single Sign-On (SSO)

Responsive Design for Web Access

Dedicated iOS Application

Dedicated Android Application

Dashboard / Report / Visualization Interactivity on Mobile

REST API

Javascript API

iFrames

Java API

Themeable User Interface (UI)

Customizable Platform (Open Source)

Pros

Apache Spark

Tableau Online

Cons

Apache Spark

Tableau Online

Usability

Apache Spark

Tableau Online

Support Rating

Apache Spark

Tableau Online

Alternatives Considered

Apache Spark

Tableau Online

Return on Investment

Apache Spark

Tableau Online

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Rating Summary

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